In [1]}, the traditional detection based methods are replaced by the density estimation based crowd counting methods, which can detect the density of crowd with high performance
and high precision. However, the encoder and decoder of traditional CNN based
density estimation methods have low correlation, which is difficult to remain the spatial information
of the image. The Trellis Encoder-Decoder networks including multi-path decoder and encoder, is
proposed to improve the accuracy of counting. The structure of network is shown in Fig. REF . Only two pooling layers are applied to reduce the loss of spatial pixel accuracy. In addition, a multi-scale encoder is designed to improve the adaptability of network to the large variation of the object size.
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